Today, LTrace conducted a short course for Petrobras on the Thin Section environment of the GeoSlicer software. Our mentor for the course was Márcio ValĂ©rio Weck Pereira Among its many capabilities, we applied our AI-driven segmentation algorithm for thin sections, enabling the identification of both minerals and textures (GIF below). 🧠💡 🔹 Reminder: GeoSlicer is […]
We’re happy to share the productive year LTrace had in 2024. Check out the contributions our team made across scientific journals and conferences:
ai, deeplearing, digitalrock, machine learning, news, reservoir engineering
📢 Modeling fluid flow in porous media with broad pore size distributions remains an open challenge, as balancing field of view and voxel resolution often requires difficult compromises. 🔬 Our latest developments 🔬We’re excited to share our developments on multiscale pore network models, implemented in the open-source solution Geoslicer. Multiscale PNM addresses this challenge by representing subresolution pores through effective properties while reducing the computational […]
At the end of last year LTrace was selected at a contest promoted by PETROBRAS and SEBRAE called “Petrobras connections for innovation – Startup module”
ai, history matching, kalman filter, machine learning, neural networks, ocean plugin, petrel, R&D, reservoir engineering, seismic
Join us at the SEG conference during the week of 15-20 September. We will be presenting our new developments using deep learning for rock properties prediction from micro CT rock images.
Join us at the SBGf conference during the week of 19-22 of August. We will be presenting our new developments using deep learning for grain size estimation from micro CT rock images.
LTrace is proud to announce that it will be presenting a poster detailing the methodology for grain size distribution estimation on micro CT using Deep Learning.
The Brazilian Geophysical Society published an edition of its bulletin focused on machine learning.
LTrace will be presenting an oral session about the impacts of seismic inversion parameters on pore volume and connectivity.
LTrace recently co-authored a new paper at one of the most respected journals of the area: SEG’s GEOPHYSICS. Dr. Leandro Figueiredo, our co-founder was the first author.